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Unit outline_

ELEC5211: Power System Dynamics and Control

Semester 1, 2021 [Normal day] - Remote

The unit deals with power systems modelling, analysis and simulation under dynamic conditions. The unit will cover the following topics: The links between power system steady state analysis and transient analysis; Basics of dynamic system in general and stability analysis methods; Analysis of power systems subject to electromagnetic and electromechanical transients. Power system modelling for stability analysis and electromagnetic transients analysis: Synchronous machine modelling using Park's transformation; Modelling of excitation systems and turbine governors; Modelling of the transmission system; Load modelling. Simulation of interconnected multi-machine systems; Stability analysis- Transient stability, Small signal stability, Voltage stability; Power system control: Voltage control, Power system transient stability control, Power system dynamic stability control, Emergency control; The unit is a specialist Unit for MPE (Power and Electrical) and ME (Power and Electrical). It is also available as a recommended elective for BE Electrical (Power).

Unit details and rules

Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

ELEC3203 OR ELEC9203 OR ELEC5732. The assumed knowledge for learning this UoS is a deep understanding on circuit analysis and its applications in power system steady state analysis.

Available to study abroad and exchange students

No

Teaching staff

Coordinator Jin Ma, j.ma@sydney.edu.au
Type Description Weight Due Length
Final exam (Record+) Type B final exam Final Exam
Online open book exams.
55% Formal exam period 2 hours
Outcomes assessed: LO5 LO6 LO7 LO8
Assignment group assignment Lab
Complete the lab and submit the report
20% Week 10 N/A
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Assignment group assignment Project
Complete the project and submit the project report
25% Week 13 N/A
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
group assignment = group assignment ?
Type B final exam = Type B final exam ?

Assessment summary

  • Final Exam: Individual based 2-hour open book exam to test students’ understandings on the knowledge and the problem solving skills
  • Lab: Practical group work to carry out the power system steady state and dynamic analysis for a Single Machine Infinite Bus system.
  • Project: Build a model of a multi-machine power system and analyse its dynamic behavior using simulation methods.

Minimum Performance Criteria: The WAM of all assessment components reaches 50 marks.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

10% daily for late submission on lab report and project report.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 A general introduction to this Unit of Study and to power system dynamics and control including the definition of power system dynamics and stability, mathematical interpretation as well as physical interpretation of power system dynamics and stability, a history review on power system dynamics and stability, the classification of the power system stability, and the connections of power system dynamics with other research areas in power system operation and control. Lecture (2 hr) LO5
Week 02 Fundamentals of dynamical systems in general especially on modeling, equilibrium and transients with respective applications. Lecture (2 hr) LO5 LO8
Week 03 Introduction to stability analysis methods on dynamic systems Lecture and tutorial (3 hr) LO5 LO8
Week 04 Per unit system; Power flow and its solution; Modeling transmission Network in dynamic studies. Lecture and tutorial (3 hr) LO5 LO6 LO7 LO8
Week 05 Introduction to power system dynamic modeling, Analysis on the electric field and the magnetic field of the generator; Modelling generator in three-phase coordinates; Park transformation; The flux linkage equations and the voltage equations of the generator after Park transformation. Lecture and tutorial (3 hr) LO5 LO6 LO7 LO8
Week 06 Dynamics at different time scales. Dynamic analysis in frequency domain; Operational parameters. Lecture and tutorial (3 hr) LO5 LO6 LO7 LO8
Week 07 Equation of Motion; Generator models in stability analysis with different accuracy. Lecture and tutorial (3 hr) LO5 LO6 LO7 LO8
Week 08 Single Machine Infinite Bus (SIMB) power system dynamic analysis and control (I) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Week 09 Single Machine Infinite Bus (SIMB) power system dynamic analysis and control (II) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Week 10 Multi-machine power system dynamic analysis and control (I) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Week 11 Multi-machine power system dynamic analysis and control (II) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Week 12 Multi-machine power system dynamic analysis and control (III) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Week 13 Multi-machine power system dynamic analysis and control (IV) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • P. Kundur, Power System Stability and Control. New York, McGraw-Hill, Inc., 1994. 978-0070359581
  • P.M.Anderson, A.A.Fouad, Power System Control and Stability, IEEE Press, 2003, 0-471-23862-7

The lecture notes are developed upon combination of a few references and self-contained for this UoS.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. work in a team by assuming diverse roles, aiding or initiating the process of team interaction and drawing on and being receptive to others' viewpoints, to try and solve a specific engineering task
  • LO2. investigate inquiries and develop knowledge by drawing on a vast source of professional documents in various formats, and synthesising the information to solve a specific engineering problem
  • LO3. present concise information accurately using varied formats and media to a level appropriate to the expected understanding from this unit of study
  • LO4. write a report to communicate complex project specific information concisely and accurately and to the degree of specificity required by the engineering project at hand
  • LO5. understand the stability concepts and analysis methods in general and their specific applications in power system stability analysis and control
  • LO6. demonstrate a deep understanding on power system modelling for stability analysis
  • LO7. demonstrate a deep understanding of power system behaviour under transient conditions
  • LO8. analyse transient behaviour of power systems based on rigorous mathematical tools
  • LO9. apply dedicated simulation tools to analyse power systems under transient conditions and to design the controls to enable stable and secure power system operation.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

Following the changes made in the last year and positive feedback on the lectorial teaching mode, the unit will keep this teaching mode and encourage discussions and interactive activities in the class to help students understand the concepts and learn how to use them to solve the problems.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.